A method for controlling an industrial process includes: determining, by a process controller, based at least in part on a set of current values and/or past values of state variables of the industrial process, a set of control outputs to be applied to at least one actor and/or lower-level controller configured to cause a performing of at least one physical action on the process; querying, based on at least a subset of the set of current values and/or past values of state variables and on at least a subset of the set of control outputs, a trained machine-learning model configured to output a classification value, and/or a regression value, that is indicative of a propensity of a watching human operator to at least partially override the control outputs delivered by the process controller; and determining that the classification value, the regression value, and/or the propensity, meets a predetermined criterion.
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4. The method of claim 1, wherein the machine-learning model further bases the classification value, and/or the regression value, on at least one set-point of the process, and/or on a future expectation of at least one state variable of the process.
5. The method of claim 1, wherein the machine-learning model comprises an artificial neural network and/or a support vector machine.
6. A computer program comprising machine-readable instructions that, when executed by one or more computers, cause the one or more computers to perform the method of claim 1.
7. A non-transitory storage medium and/or a downloadable product, comprising the computer program of claim 6.
8. A computer, provisioned with the computer program of claim 6.
15. A parameter set with parameters that characterize the behavior of a machine-learning model, obtained by the method of claim 10.
16. A non-transitory storage medium and/or a downloadable product, comprising the parameter set of claim 15.
17. A computer, provisioned with the non-transitory storage medium and/or downloadable product of claim 16.
18. A computer, provisioned with the parameter set of claim 15.
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July 7, 2020
January 17, 2023
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